/dports/graphics/libjxl/libjxl-0.6.1/lib/jxl/ |
H A D | robust_statistics_test.cc | 22 constexpr size_t kBins = 101; in TEST() local 30 NoisePoisson noise(frac * kBins / 10); in TEST() 34 uint32_t bins[kBins] = {0}; in TEST() 44 if (idx_bin < static_cast<ssize_t>(kBins)) { in TEST() 55 float smoothed[kBins]; in TEST() 57 smoothed[kBins - 1] = bins[kBins - 1]; in TEST() 58 for (size_t i = 1; i < kBins - 1; ++i) { in TEST() 62 std::max_element(smoothed, smoothed + kBins) - smoothed; in TEST() 68 uint32_t cdf[kBins]; in TEST() 69 std::partial_sum(bins, bins + kBins, cdf); in TEST() [all …]
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H A D | enc_noise.cc | 70 static constexpr int kBins = 256; member in jxl::__anon4132351c0111::NoiseHistogram 72 NoiseHistogram() { std::fill(bins, bins + kBins, 0); } in NoiseHistogram() 85 uint32_t cdf[kBins]; in Mode() 86 std::partial_sum(bins, bins + kBins, cdf); in Mode() 87 return HalfRangeMode()(cdf, kBins); in Mode() 91 const int64_t total = std::accumulate(bins, bins + kBins, int64_t{1}); in Quantile() 96 for (; i < kBins; ++i) { in Quantile() 107 while (next < kBins && bins[next] == 0) { in Quantile() 123 return std::min(std::max(T(0), x), T(kBins - 1)); in ClampX() 127 uint32_t bins[kBins]; [all …]
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/dports/mail/thunderbird/thunderbird-91.8.0/third_party/jpeg-xl/lib/jxl/ |
H A D | robust_statistics_test.cc | 22 constexpr size_t kBins = 101; in TEST() local 30 NoisePoisson noise(frac * kBins / 10); in TEST() 34 uint32_t bins[kBins] = {0}; in TEST() 44 if (idx_bin < static_cast<ssize_t>(kBins)) { in TEST() 55 float smoothed[kBins]; in TEST() 57 smoothed[kBins - 1] = bins[kBins - 1]; in TEST() 58 for (size_t i = 1; i < kBins - 1; ++i) { in TEST() 62 std::max_element(smoothed, smoothed + kBins) - smoothed; in TEST() 68 uint32_t cdf[kBins]; in TEST() 69 std::partial_sum(bins, bins + kBins, cdf); in TEST() [all …]
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H A D | enc_noise.cc | 70 static constexpr int kBins = 256; member in jxl::__anon9abb83b40111::NoiseHistogram 72 NoiseHistogram() { std::fill(bins, bins + kBins, 0); } in NoiseHistogram() 85 uint32_t cdf[kBins]; in Mode() 86 std::partial_sum(bins, bins + kBins, cdf); in Mode() 87 return HalfRangeMode()(cdf, kBins); in Mode() 91 const int64_t total = std::accumulate(bins, bins + kBins, int64_t{1}); in Quantile() 96 for (; i < kBins; ++i) { in Quantile() 107 while (next < kBins && bins[next] == 0) { in Quantile() 123 return std::min(std::max(T(0), x), T(kBins - 1)); in ClampX() 127 uint32_t bins[kBins]; [all …]
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/dports/www/firefox-esr/firefox-91.8.0/third_party/jpeg-xl/lib/jxl/ |
H A D | robust_statistics_test.cc | 22 constexpr size_t kBins = 101; in TEST() local 30 NoisePoisson noise(frac * kBins / 10); in TEST() 34 uint32_t bins[kBins] = {0}; in TEST() 44 if (idx_bin < static_cast<ssize_t>(kBins)) { in TEST() 55 float smoothed[kBins]; in TEST() 57 smoothed[kBins - 1] = bins[kBins - 1]; in TEST() 58 for (size_t i = 1; i < kBins - 1; ++i) { in TEST() 62 std::max_element(smoothed, smoothed + kBins) - smoothed; in TEST() 68 uint32_t cdf[kBins]; in TEST() 69 std::partial_sum(bins, bins + kBins, cdf); in TEST() [all …]
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H A D | enc_noise.cc | 70 static constexpr int kBins = 256; member in jxl::__anon4b9f6d3d0111::NoiseHistogram 72 NoiseHistogram() { std::fill(bins, bins + kBins, 0); } in NoiseHistogram() 85 uint32_t cdf[kBins]; in Mode() 86 std::partial_sum(bins, bins + kBins, cdf); in Mode() 87 return HalfRangeMode()(cdf, kBins); in Mode() 91 const int64_t total = std::accumulate(bins, bins + kBins, int64_t{1}); in Quantile() 96 for (; i < kBins; ++i) { in Quantile() 107 while (next < kBins && bins[next] == 0) { in Quantile() 123 return std::min(std::max(T(0), x), T(kBins - 1)); in ClampX() 127 uint32_t bins[kBins]; [all …]
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/dports/misc/py-xgboost/xgboost-1.5.1/tests/cpp/common/ |
H A D | test_hist_util.cc | 29 constexpr size_t kBins = 10; in ParallelGHistBuilderReset() local 37 collection.Init(kBins); in ParallelGHistBuilderReset() 44 hist_builder.Init(kBins); in ParallelGHistBuilderReset() 58 for(size_t j = 0; j < kBins; ++j) { in ParallelGHistBuilderReset() 76 for(size_t j = 0; j < kBins; ++j) { in ParallelGHistBuilderReset() 86 constexpr size_t kBins = 10; in ParallelGHistBuilderReduceHist() local 93 collection.Init(kBins); in ParallelGHistBuilderReduceHist() 100 hist_builder.Init(kBins); in ParallelGHistBuilderReduceHist() 114 for(size_t i = 0; i < kBins; ++i) { in ParallelGHistBuilderReduceHist() 124 for(size_t i = 0; i < kBins; ++i) { in ParallelGHistBuilderReduceHist() [all …]
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H A D | test_hist_util.cu | 513 size_t constexpr kRows = 3000, kCols = 200, kBins = 256; in TEST() local 524 HistogramCuts weighted_cuts = DeviceSketch(0, m.get(), kBins, 0); in TEST() 527 HistogramCuts cuts = DeviceSketch(0, m.get(), kBins, 0); in TEST() 542 ValidateCuts(weighted_cuts, m.get(), kBins); in TEST() 546 size_t constexpr kRows = 300, kCols = 20, kBins = 256; in TestAdapterSketchFromWeights() local 576 SketchContainer sketch_container(ft, kBins, kCols, kRows, 0); in TestAdapterSketchFromWeights() 577 AdapterDeviceSketch(adapter.Value(), kBins, info, std::numeric_limits<float>::quiet_NaN(), in TestAdapterSketchFromWeights() 592 ValidateCuts(cuts, dmat.get(), kBins); in TestAdapterSketchFromWeights() 595 HistogramCuts non_weighted = DeviceSketch(0, dmat.get(), kBins, 0); in TestAdapterSketchFromWeights()
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H A D | test_quantile.cu | 10 constexpr size_t kRows = 1000, kCols = 100, kBins = 256; in TEST() local 12 SketchContainer sketch(ft, kBins, kCols, kRows, 0); in TEST()
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/dports/misc/xgboost/xgboost-1.5.1/tests/cpp/common/ |
H A D | test_hist_util.cc | 29 constexpr size_t kBins = 10; in ParallelGHistBuilderReset() local 37 collection.Init(kBins); in ParallelGHistBuilderReset() 44 hist_builder.Init(kBins); in ParallelGHistBuilderReset() 58 for(size_t j = 0; j < kBins; ++j) { in ParallelGHistBuilderReset() 76 for(size_t j = 0; j < kBins; ++j) { in ParallelGHistBuilderReset() 86 constexpr size_t kBins = 10; in ParallelGHistBuilderReduceHist() local 93 collection.Init(kBins); in ParallelGHistBuilderReduceHist() 100 hist_builder.Init(kBins); in ParallelGHistBuilderReduceHist() 114 for(size_t i = 0; i < kBins; ++i) { in ParallelGHistBuilderReduceHist() 124 for(size_t i = 0; i < kBins; ++i) { in ParallelGHistBuilderReduceHist() [all …]
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H A D | test_hist_util.cu | 513 size_t constexpr kRows = 3000, kCols = 200, kBins = 256; in TEST() local 524 HistogramCuts weighted_cuts = DeviceSketch(0, m.get(), kBins, 0); in TEST() 527 HistogramCuts cuts = DeviceSketch(0, m.get(), kBins, 0); in TEST() 542 ValidateCuts(weighted_cuts, m.get(), kBins); in TEST() 546 size_t constexpr kRows = 300, kCols = 20, kBins = 256; in TestAdapterSketchFromWeights() local 576 SketchContainer sketch_container(ft, kBins, kCols, kRows, 0); in TestAdapterSketchFromWeights() 577 AdapterDeviceSketch(adapter.Value(), kBins, info, std::numeric_limits<float>::quiet_NaN(), in TestAdapterSketchFromWeights() 592 ValidateCuts(cuts, dmat.get(), kBins); in TestAdapterSketchFromWeights() 595 HistogramCuts non_weighted = DeviceSketch(0, dmat.get(), kBins, 0); in TestAdapterSketchFromWeights()
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H A D | test_quantile.cu | 10 constexpr size_t kRows = 1000, kCols = 100, kBins = 256; in TEST() local 12 SketchContainer sketch(ft, kBins, kCols, kRows, 0); in TEST()
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/dports/biology/ncbi-cxx-toolkit/ncbi_cxx--25_2_0/src/util/test/ |
H A D | test_histogram_mt.cpp | 66 const int kBins = 10; variable 102 THistogram template_histogram(0, kMax, kBins, THistogram::eLinear); in Run() 137 assert(counters.size() == kBins); in Run() 140 assert(starts.size() == kBins); in Run()
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/dports/www/firefox/firefox-99.0/third_party/jpeg-xl/lib/jxl/ |
H A D | enc_noise.cc | 69 static constexpr int kBins = 256; member in jxl::__anonec0c5fe80111::NoiseHistogram 71 NoiseHistogram() { std::fill(bins, bins + kBins, 0); } in NoiseHistogram() 79 for (size_t i = 0; i < kBins; i++) { in Mode() 86 const int64_t total = std::accumulate(bins, bins + kBins, int64_t{1}); in Quantile() 91 for (; i < kBins; ++i) { in Quantile() 102 while (next < kBins && bins[next] == 0) { in Quantile() 118 return std::min(std::max(T(0), x), T(kBins - 1)); in ClampX() 122 uint32_t bins[kBins]; 150 return static_cast<float>(mode) / NoiseHistogram::kBins; in GetSADThreshold()
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/dports/misc/py-xgboost/xgboost-1.5.1/tests/cpp/tree/gpu_hist/ |
H A D | test_histogram.cu | 13 size_t constexpr kBins = 256, kCols = 120, kRows = 16384, kRounds = 16; in TestDeterministicHistogram() local 18 BatchParam batch_param{0, static_cast<int32_t>(kBins)}; in TestDeterministicHistogram() 26 int num_bins = kBins * kCols; in TestDeterministicHistogram() 115 size_t constexpr kBins = 256; in TestGPUHistogramCategorical() local 119 BatchParam batch_param{0, static_cast<int32_t>(kBins)}; in TestGPUHistogramCategorical()
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/dports/misc/xgboost/xgboost-1.5.1/tests/cpp/tree/gpu_hist/ |
H A D | test_histogram.cu | 13 size_t constexpr kBins = 256, kCols = 120, kRows = 16384, kRounds = 16; in TestDeterministicHistogram() local 18 BatchParam batch_param{0, static_cast<int32_t>(kBins)}; in TestDeterministicHistogram() 26 int num_bins = kBins * kCols; in TestDeterministicHistogram() 115 size_t constexpr kBins = 256; in TestGPUHistogramCategorical() local 119 BatchParam batch_param{0, static_cast<int32_t>(kBins)}; in TestGPUHistogramCategorical()
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/dports/misc/py-xgboost/xgboost-1.5.1/tests/cpp/predictor/ |
H A D | test_gpu_predictor.cu | 75 size_t constexpr kRows { 128 }, kCols { 16 }, kBins { 64 }; in TEST() local 77 .Bins(kBins) in TEST() 88 TestTrainingPrediction(kRows, kBins, "gpu_hist", p_full, p_ellpack); in TEST()
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/dports/misc/xgboost/xgboost-1.5.1/tests/cpp/predictor/ |
H A D | test_gpu_predictor.cu | 75 size_t constexpr kRows { 128 }, kCols { 16 }, kBins { 64 }; in TEST() local 77 .Bins(kBins) in TEST() 88 TestTrainingPrediction(kRows, kBins, "gpu_hist", p_full, p_ellpack); in TEST()
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/dports/biology/ncbi-cxx-toolkit/ncbi_cxx--25_2_0/src/app/pubseq_gateway/server/ |
H A D | timing.cpp | 48 static string kBins("Bins"); in SerializeHistogram() local 81 ret.SetByKey(kBins, bins); in SerializeHistogram() 346 static string kBins("Bins"); in SerializeSeries() local 349 ret.SetByKey(kBins, CPSGTimingBase::SerializeSeries(most_ancient_time, in SerializeSeries()
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